# Copyright 2023 Ant Group Co., Ltd.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#      https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from typing import List, Union

import jax
import numpy as np


def unique_list(orginal_list: List) -> List:
    """unique list without set. using set may lead to inconsistent computations across parties

    Args:
        orginal_list (List): List which may have repetitions

    Returns:
        List: List without repetitions
    """
    unique_values = []
    for value in orginal_list:
        if value not in unique_values:
            unique_values.append(value)
    return unique_values


def cast_float(a: Union[np.ndarray, float, jax.Array]):
    """Convert a float-like array or object into a float"""
    # handle special case np.array([x])
    if isinstance(a, Union[np.ndarray, jax.Array]):
        if a.size == 1:
            return float(a.flatten()[0])
        else:
            raise ValueError(
                f'Expected scalar-like value, got {a}, {type(a)}, {a.shape}, {a.size}'
            )
    else:
        return float(a)
